Making Machines Mindful: NYU Professor Talks Responsible AI - Ep. 205
Oct 18, 2023
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Julia Stoyanovich, NYU professor and director of Center for Responsible AI, discusses responsible AI, NYC's bias-free hiring software law, transparency in AI models, and the need for skepticism and critical thinking in an AI-driven world.
New York City's groundbreaking law mandating third-party audits for AI hiring software sets an example for regulating AI technologies and addressing concerns of bias and discrimination.
The Center for Responsible AI at NYU aims to make responsible AI the norm by promoting research, education, and the formulation of laws and regulations, emphasizing the importance of human responsibility and ethical considerations in AI development and deployment.
Deep dives
New York City's Law on Responsible Hiring AI
New York City implemented a groundbreaking law requiring third-party audits for AI hiring software to ensure it is free from bias. The law also mandates that companies using AI hiring software must publish the results of these audits. This law serves as an important real-world example of regulating AI technologies in response to concerns about bias and discrimination. Julia Stéonovich, an associate professor and director of NYU's Center for Responsible AI, played a vital role in creating this law and has been actively working towards the responsible use of AI throughout her career.
Center for Responsible AI's Mission
The Center for Responsible AI at NYU aims to make responsible AI the norm by fostering an ecosystem of socially sustainable AI innovation. They emphasize the need for better informed individuals, laws, and regulations to ensure the responsible and ethical adoption of AI technology. The center engages in research, education, and participating in the formulation of laws and regulations to promote the responsible use of AI.
Understanding Responsible AI, AI Ethics, and AI Safety
Responsible AI refers to people taking responsibility for decisions related to the development, testing, deployment, and regulation of AI systems, rather than attributing responsibility to the AI itself. AI ethics involves embedding moral values and principles into the design and use of AI systems. AI safety focuses on ensuring the safe operation and behavior of AI systems. These terms vary in their usage and interpretation but fundamentally highlight the importance of human responsibility and ethical considerations in the development and deployment of AI.
Challenges and Progress in Hiring AI
AI is extensively used in various stages of the hiring process, from personalized job ads to resume screening tools. These systems, however, can perpetuate biases and questionable practices. The New York City law on hiring AI addresses this issue by requiring bias audits for AI hiring software and providing job seekers with information on how their applications will be screened. While the law has limitations, it sets the stage for greater transparency, accountability, and citizen engagement regarding AI systems. Julia Stéonovich stresses the importance of individuals advocating for their rights and demanding accountability by engaging with local governments and educating themselves about AI.
Artificial intelligence is now a household term. Responsible AI is hot on its heels.
Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms “AI” and “responsible AI” synonymous.
In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz spoke with Stoyanovich about responsible AI, her advocacy efforts and how people can help.
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